Source description
About the role
Job Description
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->
Job Overview
Job ID: J53099
Posted Date: 01/28/2026
--> Specialized Area: Machine learning
--> Job Title: Sr. NLP Analyst
Location: Dallas, TX
Duration: 20 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Domain Exposure: Pharmaceuticals, Banking & Finance, Retail, Telecom, Real Estate, IT/Software
--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C Bench Recruiter: Jessy Thomas
-->
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Job Description -->
Job Description:
We are seeking a highly skilled AI/ML Engineer with a strong focus on Artificial Intelligence and Machine Learning algorithms.
The ideal candidate will be responsible for developing, implementing, and optimizing AI/ML models that drive innovative solutions and enhance our product offerings.
This role requires a deep understanding of AI/ML principles, a passion for technology, and the ability to work collaboratively in a fast-paced environment.
Mandatory Skills:
Conversational AI, NLP, LLMs, Generative AI, Prompt engineering, Data analysis
Responsibilities
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Design, develop, and deploy AI/ML algorithms and models to solve complex business problems.
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Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
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Conduct data analysis and preprocessing to ensure high-quality input for AI/ML models.
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Evaluate and optimize existing algorithms for performance and scalability.
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Stay updated with the latest advancements in AI/ML technologies and methodologies.
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Document processes, methodologies, and results to ensure knowledge sharing within the team.
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Participate in code reviews and provide constructive feedback to peers.
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Assist in the training and mentoring of junior team members in AI/ML concepts and practices.
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Mandatory Skills:
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Strong knowledge of AI/ML algorithms, including supervised and unsupervised learning techniques.
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Proficiency in programming languages such as Python, R, or Java, with a focus on AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
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Experience with data manipulation and analysis using tools like Pandas, NumPy, or similar.
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Familiarity with natural language processing (NLP) techniques and frameworks.
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Solid understanding of statistical analysis and model evaluation metrics.
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Ability to work with large datasets and cloud-based platforms (e.g., AWS, Azure).
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Preferred Skills:
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Experience with deep learning frameworks and techniques.
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Knowledge of reinforcement learning and its applications.
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Familiarity with big data technologies (e.g., Hadoop, Spark).
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Experience in deploying AI/ML models in production environments.
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Strong problem-solving skills and the ability to think critically.
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Excellent communication skills, both verbal and written.
Qualifications
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Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
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Demonstrated ability to work independently and as part of a team.
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Strong analytical skills and attention to detail.
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Passion for AI/ML technologies and a desire to continuously learn and grow in the field.
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Apply Now
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